The prognostic value of immunophenotype in adult acute lymphoblastic leukemia (ALL) has varied based on the methods used, surface markers studied, and therapy administered. From April 1991 to September 1996, samples of leukemic marrow or blood from 259 eligible and evaluable adult ALL patients entering dose-intensive Cancer and Leukemia Group B (CALGB) front-line treatment protocols were prospectively studied for immunophenotypic classification by multiparameter flow cytometry (MFC) in a central laboratory. A B-lineage (B-LIN) phenotype was expressed in 79% of cases, with one third coexpressing myeloid antigens. A T-lineage (T-LIN) phenotype was expressed in 17% of cases, with one quarter coexpressing myeloid antigens. Since the advent of more intensive CALGB therapy which incorporated cyclophosphamide and the early use of L-asparaginase into the backbone of daunorubicin, vincristine and prednisone, together with central nervous system prophylaxis for adult ALL, no significant differences in response rates, remission duration, or survival have been seen in those patients coexpressing myeloid antigens. The T-LIN phenotype was associated with younger age (P = .01), a higher male to female ratio (P = .01), higher white blood cell count (P = .001) and hemoglobin (P < .001) levels, presence of a mediastinal mass (P < .001), and longer survival (P = .01) and disease-free survival (DFS) (P = .01) when compared to patients with a B-LIN phenotype. The 3-year probability of survival and DFS (95% confidence interval [CI]) of T-LIN adult ALL was 0.62 (0.46 to 0.76) and 0.62 (0.44 to 0.77), respectively. Comparatively, the 3-year probability of survival and DFS (95% CI) of B-LIN adult ALL was 0.42 (0.35 to 0.50) and 0.39 (0.31 to 0.47), respectively. The number of T markers expressed in T-LIN ALL cases was shown to have prognostic significance. In particular, patients expressing six or more markers compared with patients expressing three or fewer markers had longer DFS (P = .003) and survival (P = .004). The presence of the Philadelphia chromosome was significantly associated with B-LIN ALL cases which coexpressed CD19+, CD34+, and CD10+ (49%;P = .003), whereas the majority of t(4;11) cases were CD19+, CD34+ but CD10. The knowledge gained from this study of MFC of a large number of patients will permit a reduction in the number of antigens to be evaluated in future studies. Overall, this should lead to cost savings without loss of valuable information. A rational approach for future studies would be to use four-color flow cytometry (instead of the current three-color) to help further streamline the study of immunophenotype of adult ALL by MFC.

ACUTE LYMPHOBLASTIC leukemia (ALL) is biologically and clinically a heterogeneous group of diseases characterized by malignant proliferation and accumulation of immature lymphoid cells within the bone marrow, blood, and lymphoid organs. Historically, prognostic data were obtained from routine physical examination, serum biochemical profiles, bone marrow morphology, and peripheral blood counts. More recently, information obtained from karyotype, molecular genetics, and surface immunophenotype have contributed to a better understanding of this complex disease and its treatment.1-3 Immunophenotyping by flow cytometry aids in distinguishing ALL from acute myeloid leukemia (AML) in approximately 10% to 15% of cases in which morphology and cytochemistry are inadequate to make a definitive diagnosis.

Immunophenotyping of ALL is accomplished by use of panels of specific monoclonal antibodies (MoAbs) that recognize distinct epitopes of cellular membrane antigens. Normal lymphocytes are derived from pluripotent stem cells that become committed to the lymphoid developmental pathway. As normal B-cell and T-cell ontogeny occurs, these committed cells acquire and lose various surface molecules that represent typical changes in cytokine-induced metabolic, and adhesive function which occur at various stages of differentiation.4-6 

The neoplastic process that leads to leukemogenesis is characterized by cellular and molecular dysregulation. The net result is that the leukemic cell is phenotypically different from any normal cell, but the degree of difference is extremely variable. Although the functions of many of these surface molecules still remain unknown, fluorochrome-conjugated antibodies against them, when used in combination, allow resolution of a unique repertoire with variable expression that can differentiate between normal and leukemic cells.

Protocol 8364: “Immunologic diagnostic studies in adult ALL” was activated by the Cancer and Leukemia Group B (CALGB) on June 27, 1983 to allow specific immunophenotyping questions to be answered independent of a given therapy protocol. Initial studies of ALL patients prospectively studied and uniformly treated on CALGB treatment protocols (8011, 8411, 8513, and 8811) were among the first to establish the incidence of specific lineages in adult ALL patients. Approximately 50% to 60% had B-lineage disease, 15% had T-lineage disease, and the remaining 25% had unusual immunophenotypes including expression of myeloid lineage-associated antigens.7-9 These and other early studies analyzed the expression of a single antigen at a time by direct immunofluorescence microscopy or uniparameter flow cytometry.

In the Spring of 1991, ALL immunophenotyping studies began to be performed using multiparameter flow cytometry (MFC), thus allowing definitive assignment of surface antigens to leukemic cells or normal cells. In uniparameter flow cytometry, cells are stained with a single antibody and the mononuclear cell population is analyzed. In MFC, a single tube of cells is simultaneously stained with three or more different antibodies to define a distinct cluster pattern of up to eight different populations. Each of the following characteristics allow identification of leukemia cells: expression of antigens that are not typically coexpressed on normal cells, lack of expression of antigens that are typically coexpressed on normal cells, or abnormal antigen density. The data used for clinical correlations and prognosis by MFC are considered more accurate than data obtained by uniparameter methods because they more closely represent the true phenotype of the leukemic cells and allows them to be objectively resolved from normal cells. Thus, the immunophenotypic pattern defined by multiparameter techniques may more precisely reflect the biology of ALL and provide prognostic information.

Patients

Patients in this report were eligible to be enrolled on CALGB 8364 within 1 month before registration on a front-line CALGB treatment protocol (8811, 9111, 9311, 9511) for untreated ALL. In general, beginning with CALGB 8811, more intensive chemotherapy programs for adult ALL were instituted that incorporated cyclophosphamide and early, more intensive L-asparaginase administration into the backbone of daunorubicin, vincristine, and prednisone, together with central nervous system (CNS) prophylaxis.10-13 Before initiation of therapy and again at time of relapse, leukemic cells were collected in heparin from bone marrow and/or blood and shipped overnight at ambient temperature to the central CALGB laboratory. Unstained bone marrow aspirate and blood smears were concurrently submitted for central pathologic review of cytologic and cytochemical studies to confirm a diagnosis of ALL. All cases were myeloperoxidase negative.

Multiparameter Flow Cytometry Studies

Since April 1, 1991, CALGB immunophenotyping studies in ALL have been performed in the laboratory of Carleton Stewart, PhD, at Roswell Park Cancer Institute.

Procedure.

Submitted specimens were filtered through a 75-μm mesh and then washed twice in a phosphate-buffered saline (PBS)-heparin solution. Specimens were incubated with 200 μg/mL murine IgG per milliliter of specimen to block Fc receptors. Trios of diagnostic MoAbs shown in Table 1 were individually labeled with the fluorochromes fluorescein (F), phycoerythrin (PE), and tandem complexes (TC) of phycoerythrin Texas-red-biotin or phycoerythrin-cyanine 5 (Cy5)-biotin or directly conjugated with TC or peridinin chlorophyll a Protein (Per CP). If a biotinyated antibody was used (before availability of direct conjugates), the TC-avidin was added to the cells for an additional 15 minutes of incubation. A detailed explanation of staining, data acquisition, and analysis has been described elsewhere.14 15 Light-activated ethidium-monoxide–treated aliquots were used to detect dead cells. Isotype and autofluorescence controls were performed. Leukemia gates were used for analysis. Data were obtained using a dedicated Becton Dickinson FACScan flow cytometer (Becton Dickinson, San Jose, CA). Events are recorded on disk and files analyzed using the Winlist multiparameter analysis software package (Verity Software House, Topsham, ME). Results of analysis with appropriate clinical comments were transferred electronically to a report template and the original bidimensional data plots for each antibody panel were reviewed and interpreted by the principal investigators (M.S.C., S.R.F., and C.C.S.). Hard copies of final reports were signed manually and then electronically transferred via an Ethernet link between the Laboratory of Flow Cytometry at Roswell Park Cancer Institute and the CALGB Data Management Center in Durham, NC.

Table 1.

Immunophenotyping Panels for ALL

Panel Purpose Label-CD Cluster
1  Defines leukocyte gate  FL-CD45  
  PE-CD14  
  TC-HLADr  
Defines major T-cell subsets and their malignant counterparts FL-CD3 PE-CD4  
  TC-CD8  
3  Defines uncommitted progenitor cells (34+, 38, DR) from committed progenitor cells (34+, 38+, DRFL-CD38 PE-CD34 TC-HLADR  
4  Detects CD10 on B cells, or T cells; detects CLL (19+, 5+)  FL-CD5 PE-CD19  
  TC-CD10 
5  Detects immature T- or B-cell malignancies  FL-CD5 
  PE-CD34  
  TC-CD19  
6  Helps distinguish B-ALL from B-lymphoproliferative disorders (11c+FL-CD20 PE-CD11c  
  TC-CD22  
7  Detects CD19+ B-myeloid cells  FL-CD33  
  PE-CD13 
  TC-CD19  
8  Verifies or excludes CD19 expression on T-ALL  FL-CD7 PE-CD19
TC-CD2
 
Detects surface Ig expression on B cells  FL-IgD  
  PE-IgM  
  TC-CD20  
10  Detects light-chain clonal excess for B-cell malignancies  FL-κ PE-λ  
  TC-CD20  
11  Isotype control for nonspecific binding FL-IgG1  
  PE-IgG2a  
  TC-IgG2b 
Panel Purpose Label-CD Cluster
1  Defines leukocyte gate  FL-CD45  
  PE-CD14  
  TC-HLADr  
Defines major T-cell subsets and their malignant counterparts FL-CD3 PE-CD4  
  TC-CD8  
3  Defines uncommitted progenitor cells (34+, 38, DR) from committed progenitor cells (34+, 38+, DRFL-CD38 PE-CD34 TC-HLADR  
4  Detects CD10 on B cells, or T cells; detects CLL (19+, 5+)  FL-CD5 PE-CD19  
  TC-CD10 
5  Detects immature T- or B-cell malignancies  FL-CD5 
  PE-CD34  
  TC-CD19  
6  Helps distinguish B-ALL from B-lymphoproliferative disorders (11c+FL-CD20 PE-CD11c  
  TC-CD22  
7  Detects CD19+ B-myeloid cells  FL-CD33  
  PE-CD13 
  TC-CD19  
8  Verifies or excludes CD19 expression on T-ALL  FL-CD7 PE-CD19
TC-CD2
 
Detects surface Ig expression on B cells  FL-IgD  
  PE-IgM  
  TC-CD20  
10  Detects light-chain clonal excess for B-cell malignancies  FL-κ PE-λ  
  TC-CD20  
11  Isotype control for nonspecific binding FL-IgG1  
  PE-IgG2a  
  TC-IgG2b 
Antibody panels.

Ten panels containing three conjugated antibodies each were used for ALL immunophenotyping studies, and their composition is shown in Table1 along with a brief rationale for their combination. Clusters of both normal and abnormal cells were explicitly resolved, and the pattern of these cell clusters served to provide another dimension for visualizing aberrant antigen expression.

Definitions.

The criterion for surface marker positivity was coexpression of an antigen by at least 10% of the leukemia blast population. Ten percent positivity was selected as a cutoff to eliminate the possibility that coexpression was caused by a nonspecific binding process or to dead cells. B-lineage (B-LIN) antigen expression was defined as CD19 or CD20 positivity; T-lineage (T-LIN) antigen expression as either (1) CD2 or CD7 positivity with CD1 or CD3 or CD4 or CD5 or CD8 positivity, or (2) CD5 positivity without CD19 or CD20 positivity; myeloid (My) antigen expression as CD13 and/or CD33 positivity coexpressed with either CD19 or CD2 and/or CD7; and stem cell phenotype as CD34 expression in the absence of positivity with any other lymphoid or myeloid lineage markers. Cases expressing combinations of antigens were classified as BMy, TMy, BTMy, BT, or unclassified ALL. For analysis purposes, the BMy cases were considered to be B-LIN and the TMy cases were considered to be T-LIN. Cases of FAB-L3 (Burkitt type ALL) were not included in our analyses, nor were cases that were strictly myeloid (ie, AML-MO).

Cytogenetics.

Many of these ALL patients also underwent genetic studies. Cytogenetic analysis of adult ALL specimens was performed as part of CALGB study 8461 (a prospective study of chromosomes in acute leukemia) as previously described.16 The companion cytogenetics study was not mandatory for patient enrollment on CALGB ALL clinical therapy trials or CALGB 8364. Sixty-one percent of the samples submitted for patients registered to both studies were evaluable by central review of karyotypes and available for this report. In addition, molecular detection of the Philadelphia (Ph) chromosome using reverse-transcriptase polymerase chain reaction (PCR) to detect the BCR-ABL fusion gene was a main objective of CALGB study 8762.17 In our statistical analyses, Ph+patients are those who were classified by either cytogenetic or molecular methods, unless otherwise specified. A “better-risk B-LIN” subgroup was defined as patients with B/BMy immunophenotype who were studied by cytogenetic and/or molecular methods and known not to be Ph+, BCR/ABL+, or having the t(4;11) cytogenetic abnormality.

Statistical analysis.

The relationship between immunophenotypic subgroups and the endpoints of disease-free survival (DFS) and overall survival were the main statistical analyses undertaken for this study. Some of the analyses were confirmatory (eg, the comparison of B-LIN and T-LIN), while other analyses were exploratory in an attempt to define new prognostic groups based on marker expression.

The duration of DFS was defined as the time from achieving a complete remission (CR) to relapse (bone marrow, blood, CNS, or testicular), death, or date of last follow-up. Survival was defined as the time from study entry to the date of last follow-up. Patients still at risk were censored at the date of last follow-up for the analysis of these endpoints. Probabilities of surviving and remaining in CR were estimated by the Kaplan-Meier method.18 Ninety-five percent confidence intervals (CI) for these probabilities were obtained by the method of Simon and Lee.19 Differences in survival or DFS between patient subgroups were tested using the logrank statistic, adjusted for multiple comparisons where appropriate.20 21Median follow-up time was estimated from the survival times of patients still at risk. Differences in proportions among patient subgroups were analyzed using Fisher’s exact test. All reported P values are nominal two-sided values. The analyses were based on all data available as of January 1998.

Patient Accrual

Between April 1, 1991 and September 30, 1996, 351 adult ALL patients were registered to CALGB 8364 and underwent MFC immunophenotyping studies. Of these 351 patients, 22 with ALL-L3 were treated on CALGB 9251, a protocol for Burkitt-type leukemia and diffuse, small noncleaved cell lymphoma, and excluded from this analysis. There were 4 additional L3 cases that were registered and treated on one of the four front-line ALL trials, but recognized as Burkitt-type leukemia after central review and, therefore, also excluded. In addition, patients were excluded from these analyses if they were found ineligible for the planned CALGB treatment study (n = 18) or if their specimens were found to be not evaluable (n = 31), with normal marker expression (n = 4), or not received at the central laboratory or evaluated at time of analysis (n = 13). Thus, a total of 259 evaluable samples were analyzed by MFC. These patients were treated on the following protocols: 8811 (n = 12), 9111 (n = 148), 9311 (n = 74), and 9511 (n = 25); the results of these studies have been reported in detail or in part.10-13 During the time period stated above, 96% of the patients accrued to these four studies had samples submitted for MFC immunophenotyping. These studies were comparable with respect to CR rates (82% to 85%) and estimated 3-year DFS (40% to 46%).

ALL Lineage Frequency

Lineage assignment by MFC in patients with adult ALL entering consecutive, similarly intensive CALGB front-line treatment protocols (8811, 9111, 9311, 9511) was determined. Features of a B-lineage phenotype were expressed in 79% of cases, with one third of this group coexpressing myeloid antigens. Seventeen percent of cases had a T-lineage phenotype, with one quarter of the group coexpressing myeloid antigens. BT, BTMy, stem cell, and unclassifiable phenotype comprised 1% or less of the remaining groups, respectively (Table2), and were dropped from further evaluation.

Table 2.

ALL Lineage Frequency (CALGB 8364)

Lineage Assignment No. of Cases
B antigens only 138 (53%)  
B + myeloid antigens  68 (26%)  
B + T antigens  2 (1%)  
B + T + myeloid antigens  3 (1%) 
T antigens only  33 (13%)  
T + myeloid antigens 11 (4%)  
Stem cell  3 (1%)  
Unclassified 1 (<1%)  
Total  259 (100%) 
Lineage Assignment No. of Cases
B antigens only 138 (53%)  
B + myeloid antigens  68 (26%)  
B + T antigens  2 (1%)  
B + T + myeloid antigens  3 (1%) 
T antigens only  33 (13%)  
T + myeloid antigens 11 (4%)  
Stem cell  3 (1%)  
Unclassified 1 (<1%)  
Total  259 (100%) 

Frequency of Individual Antigen Expression on B-LIN and T-LIN ALL

In addition to lineage analysis, the frequency of individual marker expression for the B-LIN and T-LIN immunophenotypic subgroups was evaluated (Table 3).

Table 3.

Frequency (%) of Individual Marker Expression on B-LIN and T-LIN ALL

Marker B-LIN (n = 206) T-LIN (n = 44)
CD1+ 0%  63%  
CD2+ 6%  70%  
CD3+ 0%  41% 
CD4+ <1%  61%  
CD5+ 1%  84%  
CD7+ <1%  93% 
CD8+ 0%  55%  
CD10+ 72%  16%  
CD11c+ 1%  2% 
CD13+ 32%  25%  
CD19+ 98%  0%  
CD20+ 33%  0% 
CD22+ 87%  6%  
CD33+ 3%  2%  
CD34+ 81%  27% 
CD38+ 84%  78%  
HLA DR 96%  9%  
κ+ 1%  0% 
λ+ 1.5%  0%  
IgD+ or IgM+ 0%3-150 0%3-150 
Marker B-LIN (n = 206) T-LIN (n = 44)
CD1+ 0%  63%  
CD2+ 6%  70%  
CD3+ 0%  41% 
CD4+ <1%  61%  
CD5+ 1%  84%  
CD7+ <1%  93% 
CD8+ 0%  55%  
CD10+ 72%  16%  
CD11c+ 1%  2% 
CD13+ 32%  25%  
CD19+ 98%  0%  
CD20+ 33%  0% 
CD22+ 87%  6%  
CD33+ 3%  2%  
CD34+ 81%  27% 
CD38+ 84%  78%  
HLA DR 96%  9%  
κ+ 1%  0% 
λ+ 1.5%  0%  
IgD+ or IgM+ 0%3-150 0%3-150 

Four patients were B-LIN based on CD19 dim expression; 1 patient was not evaluable for CD19 but expressed CD20 and was thereby classified as B-LIN.

F3-150

Surface IgD or IgM expression was found on 0 of 103 B-LIN and 0 of 18 T-LIN adult ALL cases evaluated.

In the B-LIN (B/BMy) group, antigen expression in decreasing order of frequency was as follows: CD19 (98%), HLA DR (96%), CD22 (87%), CD38 (84%), CD34 (81%), CD10 (72%), CD20 (33%), CD13 (32%), and occasionally CD2 (6%) or CD33 (3%), and rarely or never lambda (1.5%), kappa (1%), CD5 (1%), CD11c (1%), CD4 (<1%), CD7 (<1%), CD1 (0%), CD3 (0%), CD8 (0%), IgD (0%), or IgM (0%).

In the T-LIN (T/TMy) group, antigen expression in decreasing order of frequency was as follows: CD7 (93%), CD5 (84%), CD38 (78%), CD2 (70%), CD1 (63%), CD4 (61%), CD8 (55%), CD3 (41%), CD34 (27%), CD13 (25%), CD10 (16%), HLA DR (9%), and occasionally CD22 (6%), CD11c (2%), or CD33 (2%), and never CD19 or CD20.

Clinical Correlates Associated With Immunophenotype

Clinical and biological features by immunophenotype.

The median follow-up time for these patients has been 3.8 years (range, 1 month to 6.5 years); only 3 patients have had less than 1 year of follow-up. There were no differences in survival or DFS between patients with ALL expressing B antigens only and those expressing B plus myeloid antigens (P = .84, and P = .82, respectively; Fig 1). Similarly, there were no differences observed between patients with ALL expressing T antigens only and those expressing T plus myeloid antigens (p = .81, and p = .53, respectively; Fig 1). Hence, B and BMy patients were combined, as were T and TMy patients, for comparison purposes. Three groups were studied: B/BMy (n = 206), T/TMy (n = 44), and a “Better risk B” subgroup (n = 53), which consisted of only the B/BMy patients who had adequate cytogenetics and excluded patients with cytogenetic or molecular evidence of the Ph chromosome (Ph+) or t(4;11)(q21;q23). Statistical comparisons of these features between T-LIN cases and each B group are given in Table4.

Fig. 1.

(A) Survival for 250 adults with ALL according to expression of only B (n = 138) or T (n = 33) antigens or B + myeloid (n = 68) or T + myeloid (n = 11) antigens. There were no differences between the B and BMy patients (P = .84) and the T and TMy patients (P = .81). (B) DFS for 212 adults with ALL according to expression of only B (n = 121) or T (n = 29) antigens or B + myeloid (n = 53) or T + myeloid (n = 9) antigens. There were no differences between the B and BMy patients (P = .82), and the T and TMy patients (P = .53).

Fig. 1.

(A) Survival for 250 adults with ALL according to expression of only B (n = 138) or T (n = 33) antigens or B + myeloid (n = 68) or T + myeloid (n = 11) antigens. There were no differences between the B and BMy patients (P = .84) and the T and TMy patients (P = .81). (B) DFS for 212 adults with ALL according to expression of only B (n = 121) or T (n = 29) antigens or B + myeloid (n = 53) or T + myeloid (n = 9) antigens. There were no differences between the B and BMy patients (P = .82), and the T and TMy patients (P = .53).

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Table 4.

Clinical and Biological Features by Immunophenotype

Feature B-LIN (n = 206) PBetter Risk B (n = 53) PT-LIN (n = 44)
Median age (range)  34 (17-78)  .01  28 (17-78)  .50 28 (16-81)  
Sex:  
 Males  105 (51%) .01  34 (64%)  .39  32 (73%) 
 Females  101   19   12  
Median WBC count (range)  15.5 (0.3-307)  <.001  13.1 (0.7-286)  <.001 48.2 (0.8-326)  
Median platelets (range)  47 (4-361) .17  68 (4-259)  .93  61 (9-258) 
Median hemoglobin (range)  9.6 (3.6-18.5)  <.001 9.8 (3.6-16.3)  .01  11.1 (6.7-16.5)  
Mediastinal mass: 
 Yes  1 (1%)  <.001  0 (0%) <.001  17 (40%)  
 No  194   52  25  
Median yr DFS (range)  1.9 (1.3-2.6)  .01 1.9 (1.1-4.5)  .06  >2.0 (>1.2->4.3)  
Median yr survival (range)  1.9 (1.3-3.0)  .01  2.5 (1.3-5.1)  .08 >3 (>1.8->4.3)  
3-yr probability of DFS (95% CI) .39 (.31-.47)   .42 (.28-.56)   .62 (.44-.77) 
5-yr probability of DFS (95% CI)  .29 (.18-.43)  .32 (.16-.53)   .62 (.36-.83)  
3-yr probability of survival (95% CI)  .42 (.35-.50)   .47 (.33-.60)  .62 (.46-.76)  
5-yr probability of survival (95% CI) .34 (.23-.47)   .36 (.21-.55)  .55 (.31-.77) 
Feature B-LIN (n = 206) PBetter Risk B (n = 53) PT-LIN (n = 44)
Median age (range)  34 (17-78)  .01  28 (17-78)  .50 28 (16-81)  
Sex:  
 Males  105 (51%) .01  34 (64%)  .39  32 (73%) 
 Females  101   19   12  
Median WBC count (range)  15.5 (0.3-307)  <.001  13.1 (0.7-286)  <.001 48.2 (0.8-326)  
Median platelets (range)  47 (4-361) .17  68 (4-259)  .93  61 (9-258) 
Median hemoglobin (range)  9.6 (3.6-18.5)  <.001 9.8 (3.6-16.3)  .01  11.1 (6.7-16.5)  
Mediastinal mass: 
 Yes  1 (1%)  <.001  0 (0%) <.001  17 (40%)  
 No  194   52  25  
Median yr DFS (range)  1.9 (1.3-2.6)  .01 1.9 (1.1-4.5)  .06  >2.0 (>1.2->4.3)  
Median yr survival (range)  1.9 (1.3-3.0)  .01  2.5 (1.3-5.1)  .08 >3 (>1.8->4.3)  
3-yr probability of DFS (95% CI) .39 (.31-.47)   .42 (.28-.56)   .62 (.44-.77) 
5-yr probability of DFS (95% CI)  .29 (.18-.43)  .32 (.16-.53)   .62 (.36-.83)  
3-yr probability of survival (95% CI)  .42 (.35-.50)   .47 (.33-.60)  .62 (.46-.76)  
5-yr probability of survival (95% CI) .34 (.23-.47)   .36 (.21-.55)  .55 (.31-.77) 

P values are from comparisons with T-LIN group and are unadjusted for multiple comparisons. “Better risk B” subgroup consists of only those B/BMy patients evaluated by cytogenetics and/or molecular methods and known not to have the Philadelphia chromosome, BCR/ABL fusion gene, or t(4;11).

Compared with B-LIN patients T-LIN patients were younger (P = .01), had a higher male to female ratio (P = .01), more often had a mediastinal mass (P < .001), had higher white blood cell (WBC) counts (P = .001) and hemoglobin (P < .001) levels, and longer survival (P = .01) and DFS (P = .01). With a median follow-up of 3.8 years, the 3-year probability of survival and DFS of T-LIN adult ALL is .62 and .62 compared with .42 and 0.39 for the B-LIN adult ALL group, respectively. The potential impact that cytogenetics plays with respect to prognosis in ALL was evaluated when the same clinical and biological features were reanalyzed using a “Better risk B” subgroup compared with the T-LIN group (Table 4). In this analysis, T-LIN patients were still more likely to show a mediastinal mass (P < .001) and a higher WBC count (P = .001) and hemoglobin (P = .01), although DFS (P = .06) and survival (P = .08) were of marginal statistical significance.

T-lineage ALL.

Adult T-lineage ALL currently treated with more intensive chemotherapy regimens now show more favorable results than adult B-lineage ALL.10 22 When we analyzed individual T-cell markers in our T-lineage group, those patients with CD1, CD2, CD4, and CD5 expression were all associated with a significant improvement in survival (P = .006, P = .04, P = .05, andP = .05, respectively) compared with those patients not expressing these antigens (data not presented). The 44 individual T-LIN patients expressed a varying number of T markers. Ten patients expressed 1-3 markers, 20 patients expressed 4-5 markers, and 14 patients expressed 6-7 T-cell markers. Of the 10 patients with 1-3 markers, 6 were classified as pre-T ALL defined by expression of CD7 and lack of expression of CD1, CD2, CD4, and CD8. The 1-3 marker group had a shorter survival compared to those patients with at least 6 markers positive (P = .004). Furthermore, the same relationship between these two groups was also found for DFS (P = .003) (see Table 5 and Fig2). The group expressing 4-5 T-cell markers had an intermediate outcome. The incidence of individual T-cell markers was reviewed among the three groups. CD5 and CD7 were coexpressed in the majority of T-cell ALL patients tested. CD1, CD2, CD3, CD4, and CD8 were seldom expressed in the 1-3 marker group (25%, 10%, 0%, 20%, and 0% respectively) compared with the 4-5 marker group (62%, 85%, 40%, 60%, and 50%, respectively), and the 6-7 marker group (91%, 93%, 71%, 93%, and 100%, respectively).

Table 5.

CR Rate, DFS, and Survival Versus Number of T-Cell Markers Expressed

Group (no. of markers) No. of Patients CR (%)Probability of DFS at 3 yr (95% CI) P5-150Probability of Survival at 3 yr (95% CI) P5-150
1-3  10  6 (60%)  0.17 (0.05-0.45)  — 0.30 (0.12-0.57)  —  
4-5  20  18 (90%) 0.58 (0.29-0.81)  .13  0.62 (0.36-0.82)  .13  
6-7 14  14 (100%)  0.86 (0.59-0.96)  .003 0.86 (0.60-0.96)  .004 
Group (no. of markers) No. of Patients CR (%)Probability of DFS at 3 yr (95% CI) P5-150Probability of Survival at 3 yr (95% CI) P5-150
1-3  10  6 (60%)  0.17 (0.05-0.45)  — 0.30 (0.12-0.57)  —  
4-5  20  18 (90%) 0.58 (0.29-0.81)  .13  0.62 (0.36-0.82)  .13  
6-7 14  14 (100%)  0.86 (0.59-0.96)  .003 0.86 (0.60-0.96)  .004 
F5-150

Adjusted P value by logrank comparing 1-3 marker group with 4-5 or 6-7 marker group.

Fig. 2.

(A) Survival for T-LIN patients by the number of T-cell markers expressed. Patients expressing 6-7 markers (n = 14) had longer survival than those patients expressing 3 or fewer markers (n = 10; adjusted P = .004). Patients expressing 4-5 markers (n = 20) had intermediate survival that was not significantly different from the 6-7 marker group (adjustedP = .24) or the 1-3 marker group (adjustedP = .13). (B) DFS for T-LIN patients by the number of T-cell markers expressed. Patients expressing 6-7 markers (n = 14) had longer DFS than those patients expressing 3 or fewer markers (n = 6; adjusted P = .003). Patients expressing 4-5 markers (n = 18) have intermediate DFS that was not significantly different from the 6-7 marker group (adjusted P = .31) or the 1-3 marker group (adjusted P = .13).

Fig. 2.

(A) Survival for T-LIN patients by the number of T-cell markers expressed. Patients expressing 6-7 markers (n = 14) had longer survival than those patients expressing 3 or fewer markers (n = 10; adjusted P = .004). Patients expressing 4-5 markers (n = 20) had intermediate survival that was not significantly different from the 6-7 marker group (adjustedP = .24) or the 1-3 marker group (adjustedP = .13). (B) DFS for T-LIN patients by the number of T-cell markers expressed. Patients expressing 6-7 markers (n = 14) had longer DFS than those patients expressing 3 or fewer markers (n = 6; adjusted P = .003). Patients expressing 4-5 markers (n = 18) have intermediate DFS that was not significantly different from the 6-7 marker group (adjusted P = .31) or the 1-3 marker group (adjusted P = .13).

Close modal

CR rate in adult T-LIN ALL also appears to be influenced by the number of T-cell markers expressed. The 1-3 marker group showed CR in 6 of 10 (60%) patients, compared with 18 of 20 (90%) in the 4-5 marker group and 14 of 14 (100%) in the 6-7 marker group (P = .02).

B-lineage ALL.

A B-lineage immunophenotype was found in 79% of the 259 evaluable ALL patients. In addition to analysis by lineage or individual markers, MFC allows analysis by groups of antigens expressed on individual cell populations. This technique was used in an attempt to subclassify 206 patients with B-lineage (CD19+) ALL. CD34 and CD10 were evaluated because these antigens have been previously reported as having prognostic importance in ALL.23-25 In our current study, analysis of individual antigen markers demonstrated that only CD34-positivity in the B-LIN group was associated with shorter survival (P = .06) and DFS (P = .02) when compared with CD34 patients. In Table 6, four B-lineage ALL populations (CD10+34+, CD10+34, CD1034+, CD1034) are defined, and selected clinical and laboratory features are demonstrated. For age, time to CR, DFS, and survival, no statistically significant differences were seen among the four subgroups. However, the CD1034+ group was observed to have significantly higher WBC counts than the CD10+34+ and CD10+34groups (both at P < .05), adjusting for multiple comparisons. With respect to the presence of the Ph chromosome, the CD10+34+ group had a significantly higher fraction of positive cases (49%) when compared with the three other groups (P = .003).

Table 6.

Selected Clinical and Laboratory Features in Subgroups of CD19+ ALL

Feature CD10+34+CD10+34CD1034+CD1034P Value
No. of patients  124  24  43  13  
Median age  34  32 35  48  .28   
(range)  17-78 17-64  17-78  19-75  
Median WBC count  12.9  8.5 26.9  11.8  .04  
(range)  0.3-307  0.7-110  0.8-251 1.7-72  
Response:  
 CR (%)  105 (85%) 23 (96%)  34 (79%)  11 (85%) .32   
 No CR (%)  19 (15%)  1 (4%) 9 (21%)  2 (15%)  
Time to CR:  
 ≤30 d (%)  75 (71%)  15 (65%)  22 (65%) 9 (82%)  .64   
 >30 d (%)  30 (29%) 8 (35%)  12 (35%)  2 (18%) 
Median DFS (yr)  1.9  >2.3  1.1  >.7  .24  
Median survival (yr)  2.1  3.7  1.1  1.1  .20  
3-yr probability of DFS (95% CI)  .34 (.25-.45) .55 (.33-.75)  .37 (.22-.55)  .55 (.26-.80)  
5-yr probability of DFS (95% CI)  .24 (.11-.45)  .55 (.26-.81) .27 (.13-.47)  .55 (.21-.85)  
3-yr probability of survival (95% CI)  .40 (.31-.50)  .67 (.45-.83)  .34 (.21-.49) .43 (.20-.70)  
5-yr probability of survival (95% CI) .31 (.16-.52)  .48 (.24-.72)  .34 (.18-.54) .43 (.16-.75)  
Ph chromosome:  
 Negative  35  11 24  7  .003  
 Positive6-150 34 (49%)  2 (15%)  7 (23%) 0 (0%) 
Feature CD10+34+CD10+34CD1034+CD1034P Value
No. of patients  124  24  43  13  
Median age  34  32 35  48  .28   
(range)  17-78 17-64  17-78  19-75  
Median WBC count  12.9  8.5 26.9  11.8  .04  
(range)  0.3-307  0.7-110  0.8-251 1.7-72  
Response:  
 CR (%)  105 (85%) 23 (96%)  34 (79%)  11 (85%) .32   
 No CR (%)  19 (15%)  1 (4%) 9 (21%)  2 (15%)  
Time to CR:  
 ≤30 d (%)  75 (71%)  15 (65%)  22 (65%) 9 (82%)  .64   
 >30 d (%)  30 (29%) 8 (35%)  12 (35%)  2 (18%) 
Median DFS (yr)  1.9  >2.3  1.1  >.7  .24  
Median survival (yr)  2.1  3.7  1.1  1.1  .20  
3-yr probability of DFS (95% CI)  .34 (.25-.45) .55 (.33-.75)  .37 (.22-.55)  .55 (.26-.80)  
5-yr probability of DFS (95% CI)  .24 (.11-.45)  .55 (.26-.81) .27 (.13-.47)  .55 (.21-.85)  
3-yr probability of survival (95% CI)  .40 (.31-.50)  .67 (.45-.83)  .34 (.21-.49) .43 (.20-.70)  
5-yr probability of survival (95% CI) .31 (.16-.52)  .48 (.24-.72)  .34 (.18-.54) .43 (.16-.75)  
Ph chromosome:  
 Negative  35  11 24  7  .003  
 Positive6-150 34 (49%)  2 (15%)  7 (23%) 0 (0%) 

The P values are based on 3 degrees of freedom tests.

F6-150

Ph chromosome positive refers to patients that are BCR/ABL+ by molecular assay and/or have a t(9;22) cytogenetic karyotype.

Correlation of immunophenotype with cytogenetics.

Cytogenetic abnormalities were analyzed in 111 of the 250 patients with B-LIN or T-LIN immunophenotypes. The most common cytogenetic abnormalities seen (ie, 5 cases or more) and their corresponding lineage immunophenotype are described in Table7. The majority (36 of 38, 95%) of the cases with karyotypes of either t(4;11) or t(9;22) were associated with a B-LIN immunophenotype. These patients had shorter survival (P = .005) and DFS (P = .02) than B-LIN patients with other cytogenetic abnormalities or a normal karyotype. Of interest, two t(9;22) cases (not shown in Table 7) were found to have a mixed (B + T) lineage immunophenotype. The majority of patients had more than one karyotypic abnormality found. When studied only in those cases where they were expressed as the sole chromosomal abnormality, relatively specific surface antigen combinations were associated with the t(9;22) and t(4;11) karyotypes. Ph+ cases usually demonstrate CD19+ (11 of 12), CD10+ (9 of 12), CD34+ (12 of 12); these results are consistent with the previous finding that the B-LIN subgroup coexpressing CD10+/34+ was associated with a significantly higher than expected number of Ph+ cases (49%) compared with the three other subgroups. The majority of t(4;11) cases showed CD19+ (13 of 13) and CD34+ (9 of 13), but no CD10+ (0 of 13). The lack of CD10 expression in adult ALL patients with the t(4;11) karyotype has been independently noted by Ludwig et al from German multicenter trials.26 

Table 7.

Clonal Cytogenetic Abnormalities and ALL Immunophenotype

Abnormality B BMy T TMy B-LIN T-LINTotal
No. of cases  69  24  14  4  93  18 111  
t(9;22)7-150 13  10  0  0  23  0  23 
Any 11q23  14  1  0  0  15  0  15  
t(4;11) 12  1  0  0  13  0  13  
+21  9  4  1  13  1  14  
+8  7  3  0  0  10  10  
14q32  6  2  0  0  8  0  8  
−7 3  3  0  0  6  0  6  
del 9p  4  0  0  4  1  5  
Other abnormality  15  4  3  19  5  24  
Normal  15  6  10  1  21  11 32 
Abnormality B BMy T TMy B-LIN T-LINTotal
No. of cases  69  24  14  4  93  18 111  
t(9;22)7-150 13  10  0  0  23  0  23 
Any 11q23  14  1  0  0  15  0  15  
t(4;11) 12  1  0  0  13  0  13  
+21  9  4  1  13  1  14  
+8  7  3  0  0  10  10  
14q32  6  2  0  0  8  0  8  
−7 3  3  0  0  6  0  6  
del 9p  4  0  0  4  1  5  
Other abnormality  15  4  3  19  5  24  
Normal  15  6  10  1  21  11 32 

B-LIN combines B and BMy cases, whereas T-LIN combines T and TMy cases. Many patients were found to have more than one karyotypic abnormality and are therefore included in more than one category. Patients with t(8;14) were not included in this study.

F7-150

t(9;22) confirmed by cytogenetic analysis only. There were 4 B-LIN cases lacking cytogenetic evidence of t(9;22) that were BCR-ABL+. Additionally, 1 T-LIN case and 16 B-LIN cases were BCR-ABL+ but not evaluated cytogenetically.

Immunophenotype of ALL at relapse.

A total of 37 evaluable pairs of pretreatment and relapsed specimens have been analyzed by MFC. The immunophenotypes are shown in Table8. In 25 of 37 patients (68%), the same pretreatment immunophenotypic lineage markers were seen at time of relapse. In the remaining one third, the change at time of relapse consisted primarily of a minor shift with loss or gain of a myeloid marker. As the number of relapsed cases studied increases, future subset analysis may help in determining if any clinical or lab correlations are associated with specific immunological marker shifts. Because approximately two thirds of patients do not change their pretreatment immunophenotypic lineage, the possibility of evaluating minimal residual disease by MFC in serial samples during and following therapy remains a promising area of research.

Table 8.

Sequential Immunophenotyping Studies Before Treatment and at Relapse of ALL in 37 Patients

Pretreatment Relapse No. of Cases (n = 37) Average No. of Markers
Gained Lost
B  B  15  2  1  
B + My B + My  8  2  1  
T  T  2  0  2  
B + My  6  2  0  
B + My  B  2  0  
T  CD34, CD45 dim  1  0  2  
T  Normal  1  7  
B + T  B  1  2  3  
B + T + My T + My  1  1  
Pretreatment Relapse No. of Cases (n = 37) Average No. of Markers
Gained Lost
B  B  15  2  1  
B + My B + My  8  2  1  
T  T  2  0  2  
B + My  6  2  0  
B + My  B  2  0  
T  CD34, CD45 dim  1  0  2  
T  Normal  1  7  
B + T  B  1  2  3  
B + T + My T + My  1  1  

Adult ALL is a heterogeneous disease with leukemic blasts showing various immunophenotypes and variable responsiveness to systemic therapies. Karyotype and molecular genetics, in addition to surface immunophenotype, have refined the diagnosis and prognosis of adult ALL beyond the information available from physical examination, peripheral blood counts, serum biochemical profiles, and bone marrow morphology. Immunophenotyping is essential for confirmation of the diagnosis of ALL. Immunophenotyping permits recognition of misdiagnosed cases of AML (M0), which typically may occur in 10% to 15% of cases of ALL being evaluated by morphology and standard immunohistochemical stains alone (C. Stewart, personal communication, 1998). Immunophenotyping also provides a biologic definition of the disease that may be useful in assigning prognosis and choosing appropriate therapy. In recent years the use of uniform criteria (including age, WBC count at presentation, DNA index, early response to therapy, cytogenetics, CNS status, and immunophenotype) to assign risk-based therapy for patients with pediatric ALL has been advocated.27 

In the current study, a total of 259 evaluable adult ALL patients treated on similar intensive CALGB front-line treatment protocols had immunophenotype classifications prospectively assigned by MFC performed in a central lab. The presence of myeloid antigen (CD13 or CD33) expression was found in earlier CALGB treatment studies (8011, 8411, 8513) to predict a lower CR rate and shorter survival.8Studies by other investigators treating adult ALL patients with “standard” therapy also described a negative prognostic impact associated with myeloid antigen coexpression.28-30 Since the advent of more intensive chemotherapy programs for adult ALL patients on CALGB protocols (beginning with CALGB 8811 in which cyclophosphamide and more intensive early L-asparaginase was incorporated into the backbone of daunorubicin, vincristine and prednisone together with CNS prophylaxis), along with the exclusion of cases of AML (M0) in these latter CALGB trials, no significant differences in response rates, remission duration, or survival have been seen in patients coexpressing CD13 and/or CD33. Thus, a once-poor prognostic indicator appears to have been eliminated by better therapy. However, the potential contribution that immunophenotyping by MFC has had in excluding poor-prognostic AML (M0) cases from the current analyses of adult ALL cannot be excluded. In general, the clinical course of these patients appears to be determined by their primary lymphoid lineage (ie, B or T). For this reason, B/BMy (B-LIN) and T/TMy (T-LIN) groups are paired together, respectively, for the current analysis.

Furthermore, the use of a more intensive CALGB remission induction program has led to improved overall DFS of T-LIN compared with B-LIN subgroups. Current data also show that an increased number of T-cell antigens expressed by T-LIN ALL (ie, 6 or more compared to 3 or less T-cell markers) correlates with improved DFS and survival in the T-LIN group. The improved survival seen between these groups may be explained in part to a higher percentage of expression of the “good risk” individual T-cell markers of CD1, CD2, and CD4 in the 6-7 marker group compared with the 1-3 marker group.

A valuable outcome from the current study is the possibility for future reduction in the number of antibodies required to evaluate adult ALL. For example, because expression of myeloid antigens has no significance in outcome, their continued use may be less important, except for controlling for myeloid cell contamination. In fact, our data suggest that the deletion of CD33 from future proposed antibody panels is warranted. Of 79 patients coexpressing myeloid antigens (Table 2), 8 (10%) expressed CD33 and 76 (96%) expressed CD13, while 5 patients expressed both. Thus, only 3 of the 8 cases of CD33+ adult ALL did not also coexpress CD13 (ie, they were CD33+, CD13). Furthermore, we have deleted antibodies against those antigens with low expression and thus not potentially useful targets for future specific MoAb immunotherapy for ALL; these include antibodies against CD14, CD11c, CD33, IgD, IgM, kappa, and lambda. Morphology is the most important factor used in making a diagnosis of ALL-L3. However, surface Ig staining by immunohistochemistry is found to be positive in the majority of ALL-L3 cases and, therefore, should continue to be included as a routine assay in the initial evaluation of adult ALL.

Future studies can use four-color (instead of three-color) MFC to decrease the redundant use of the same antibody in some panels by excluding antibodies with low prognostic value and concurrently switching to four-color MFC; one could reduce the number of antibodies used from 30 to 16, and the number of tubes to process from 10 to 4, as summarized in Table 9. This could not only significantly reduce costs, but also streamline future MFC immunophenotyping of adult ALL.

Table 9.

Useful Combination of Antibodies for Immunophenotyping ALL

Purpose Label-CD Cluster
By plotting side scatter (SSC)v CD45, malignant T and B cells can often be resolved from normal cells by their degree of CD45 expression. B cells are often HLADR+, but not T cells. CD20 expression can aid in determining the maturity of B-cell malignancy while CD5 expression in the absence of CD20 expression is associated with T-cells. FITC-CD20 PE-CD5 PP-HLADR APC-CD45 
Designed to evaluate myeloid CD13+ coexpression on B-lineage (CD22) v T-lineage CD2+/CD7+ malignancy. T-lineage malignancy often exhibits over or underexpression of CD2 and/or CD7. FITC-CD7 PE-CD22 PP-CD2 APC-CD13 
Designed to evaluate CD19+ subgroups of B-lineage ALL with respect to CD10, CD38, and CD34 expression. FITC-CD38 PE-CD19 PP-CD10 APC-CD34 
This combination is designed to evaluate subgroups of T-lineage ALL with respect to CD1/CD4/CD8 and CD3 expression. Overexpression or underexpression of one or more of these markers is often found in T-lineage malignancy.  FITC-CD1 PE-CD4 PP-CD8 APC-CD3 
Purpose Label-CD Cluster
By plotting side scatter (SSC)v CD45, malignant T and B cells can often be resolved from normal cells by their degree of CD45 expression. B cells are often HLADR+, but not T cells. CD20 expression can aid in determining the maturity of B-cell malignancy while CD5 expression in the absence of CD20 expression is associated with T-cells. FITC-CD20 PE-CD5 PP-HLADR APC-CD45 
Designed to evaluate myeloid CD13+ coexpression on B-lineage (CD22) v T-lineage CD2+/CD7+ malignancy. T-lineage malignancy often exhibits over or underexpression of CD2 and/or CD7. FITC-CD7 PE-CD22 PP-CD2 APC-CD13 
Designed to evaluate CD19+ subgroups of B-lineage ALL with respect to CD10, CD38, and CD34 expression. FITC-CD38 PE-CD19 PP-CD10 APC-CD34 
This combination is designed to evaluate subgroups of T-lineage ALL with respect to CD1/CD4/CD8 and CD3 expression. Overexpression or underexpression of one or more of these markers is often found in T-lineage malignancy.  FITC-CD1 PE-CD4 PP-CD8 APC-CD3 

Specific chromosomal abnormalities such as t(9;22) and t(4;11), which are known to carry a poor prognosis, are found in only a subset of adult ALL patients. The B-LIN subgroup of CD10+/CD34+ had a statistically higher than expected number of Ph+ cases than the three other CD19+ B-LIN subgroups. The CD19+/CD34+/CD10+ immunophenotype is especially helpful in those patients in whom karyotyping is not possible since it identified a group of patients where molecular studies (PCR or fluorescence in situ hybridization) for BCR-ABL must be done.

Two recent CALGB treatment protocols for ALL have used prognostic factors validated by ongoing correlative studies to target therapy for poor-prognostic groups. Study 9251 was devised to improve the outcome in patients with Burkitt-type, surface Ig+ ALL (FAB-L3).31 This study requires immunophenotype as an entry criterion and represents one attempt to tailor therapy based on immunophenotype. In some centers that treat childhood ALL, there are separate study protocols for B-precursor, B-cell, and T-cell ALL, and additional provisions for certain high-risk genotypes within the B-precursor immunophenotype.27,32 A recent CALGB attempt at lineage-specific therapy of adult ALL (CALGB study 9311: “A Phase II Trial of Lineage-Specific Consolidation Therapy for Adult ALL: Anti-B4–Blocked Ricin for B-Lineage ALL and High-Dose Cytarabine for Non–B-lineage ALL”) sought to explore the impact of these two different intensification regimens in patients stratified by immunophenotypic lineage assignments.12 The anti-B4–blocked ricin immunotoxin targets the CD19 surface antigen found on the vast majority of B-LIN adult ALL. Unfortunately, anti-B4–blocked ricin immunotoxin did not show a significant impact in eradicating minimal residual disease as measured by qualitative PCR assays for BCR-ABL and semiquantitative PCR assays for Ig heavy-chain gene rearrangements. However, other MoAbs with possibly enhanced antitumor activity that are currently being evaluated in clinical trials may be incorporated into consolidative therapy in future adult ALL regimens. Identification of common immunologic phenotypes will permit the choice of optimal combinations of MoAb preparations that may find application in systemic passive immunotherapy. Similarly, knowledge of the immunophenotypes in adult ALL may guide the selection of the most appropriate antibodies to purge bone marrow specimens of residual leukemic cells as part of autologous bone marrow transplantation protocols.

In conclusion, our study of MFC in a large number of adult ALL patients treated on dose-intensive CALGB treatment protocols has resulted in several important observations. These include, first, myeloid antigen (CD13 and/or CD33) coexpression is not associated with a worse prognosis in adult ALL. Second, compared with the B-LIN group, intensively treated T-LIN patients have longer overall DFS and survival. Third, an increased number of T-cell antigens expressed in T-LIN adult ALL (ie, 6 or more compared to 3 or less T-cell markers) correlates with improved CR rate, DFS, and survival. Fourth, CD34+/CD10+ coexpression in the B-LIN (CD19+) group shows a higher incidence of Ph-positivity than other CD34/CD10 subgroups. In contrast, adult B-LIN ALL patients with a t(4;11) karyotype have a CD34+/CD10phenotype. Lastly, knowledge gained from this study will permit reduction in the number of antigens required for future immunophenotyping. This, along with the institution of four-color MFC, can translate into cost savings without loss of valuable information. Ultimately, the knowledge gained from this study, added to other known prognostic variables, may someday lead to individualized risk-based therapy of adult ALL.

The following institutions participated in the study: University of Alabama, Birmingham, AL: Robert Diasio, MD, supported by CA47545; Bowman Gray School of Medicine, Winston-Salem, NC: M. Robert Cooper, MD, supported by CA03927; University of North Carolina, Chapel Hill, NC: Thomas Shea, MD, supported by CA47559; University of Chicago Medical Center, Chicago, IL: Nicholas J. Vogelzang, MD, supported by CA41287; Dana-Farber Cancer Institute, Boston, MA: George P. Canellos, MD, supported by CA32291; Dartmouth-Hitchcock Medical Center, Hanover, NH: L. Herbert Maurer, MD, supported by CA04326; Duke University Medical Center, Durham, NC: Jeffrey Crawford, MD, supported by CA47577; University of Iowa Hospitals, Iowa City, IA: Gerald Clamon, MD, supported by CA47642; Long Island Jewish Medical Center, New Hyde Park, NY: Marc Citron, MD, supported by CA11028; University of Maryland Cancer Center, Baltimore, MD: Ernest Borden, MD, supported by CA31983; University of Massachusetts Medical Center, Worcester, MA: F. Marc Stewart, MD, supported by CA37135; Massachusetts General Hospital, Boston, MA: Michael Grossbard, MD, supported by CA12449; McGill Cancer Center, Montreal, Quebec, Canada: Brian Leyland-Jones, MD, supported by CA31809; Medical University of South Carolina, Charleston, SC: Mark Green, MD, supported by CA03927; University of Minnesota, Minneapolis, MN: Bruce Peterson, MD, supported by CA16450; University of Missouri, Ellis Fischel Cancer Center, Columbia, MO: Michael C. Perry, MD, supported by CA12046; Mount Sinai Hospital, New York, NY: James Holland, MD, supported by CA04457; New York Hospital, Cornell Medical Center, New York, NY: Ted Szatrowski, MD, supported by CA07968; North Shore University Hospital, Manhasset, NY: Daniel R. Budman, MD, supported by CA35279; Rhode Island Hospital, Providence, RI: Louis A. Leone, MD, supported by CA08025; Roswell Park Memorial Institute, Buffalo, NY: Ellis Levine, MD; supported by CA02599; SUNY Health Science Center at Syracuse, Syracuse, NY: Stephen Graziano, MD, supported by CA21060; University of Tennessee, Memphis, TN: Alvin Mauer, MD, supported by CA47555; University of California at San Diego, San Diego, CA: Stephen Seagren, MD, supported by CA11789; University of California at San Francisco, San Francisco, CA: Alan Venook, MD, supported by CA60138; Washington University, Barnes Hospital, St Louis, MO: Daniel Ihde, MD, supported by CA47546; Walter Reed Army Medical Center, Washington, DC: Nancy Dawson, MD, supported by CA26806.

The research for CALGB 8364 was supported, in part, by grants from the National Cancer Institute (CA31946) to the Cancer and Leukemia Group B (Richard L. Schilsky, Chairman). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute.

The publication costs of this article were defrayed in part by page charge payment. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. section 1734 solely to indicate this fact.

1
Champlin
R
Gale
RP
Acute lymphoblastic leukemia: recent advances in biology and therapy.
Blood
73
1989
2051
2
Cortes
JE
Kantarjian
HM
Acute lymphoblastic leukemia: A comprehensive review with emphasis on biology and therapy.
Cancer
76
1995
2393
3
Hoelzer
DF
Diagnosis and treatment of adult acute lymphocytic leukemia
Neoplastic Diseases of the Blood
ed 3
Wiernik
PH
Canellos
GP
Dutcher
JP
Kyle
RA
1996
295
Churchill Livingston
New York, NY
4
Pui
C-H
Behm
FG
Crist
WM
Clinical and biologic relevance of immunologic marker studies in childhood acute lymphoblastic leukemia.
Blood
82
1993
343
5
Loken
MR
Shah
VO
Dattilio
KL
Civin
CI
Flow cytometric analysis of human bone marrow. II. Normal B lymphocyte development.
Blood
70
1987
1316
6
Uckun
FM
Muraguchi
A
Ledbetter
JA
Kishimoto
T
O’Brien
RT
Roloff
JS
Gajl-Peczalska
K
Provisor
A
Koller
B
Biphenotypic leukemic precursors in CD2+CD19+ acute lymphoblastic leukemia and their putative normal counterparts in human fetal hematopoietic tissues.
Blood
73
1989
1000
7
Sobol
RE
Royston
I
LeBien
TW
Minowada
J
Anderson
K
Davey
FR
Cuttner
J
Schiffer
C
Ellison
RR
Bloomfield
CD
Adult lymphoblastic leukemia phenotypes defined by monoclonal antibodies.
Blood
65
1985
730
8
Sobol
RE
Mick
R
Royston
I
Davey
FR
Ellison
RR
Newman
R
Cuttner
J
Griffin
JD
Collins
H
Nelson
DA
Bloomfield
CD
Clinical importance of myeloid antigen expression in adult acute lymphoblastic leukemia.
N Engl J Med
316
1987
1111
9
Sobol
RE
Bloomfield
CD
Royston
I
Immunophenotyping in the diagnosis and classification of acute lymphoblastic leukemia.
Clin Lab Med
8
1988
151
10
Larson
RA
Dodge
RK
Burns
P
Lee
EJ
Stone
RM
Schulman
P
Duggan
D
Davey
FR
Sobol
RE
Frankel
SR
Hooberman
AL
Westbrook
CA
Arthur
DC
George
SL
Bloomfield
CD
Schiffer
CA
A five-drug remission induction regimen with intensive consolidation for adults with acute lymphoblastic leukemia: Cancer and Leukemia Group B Study 8811.
Blood
85
1995
2025
11
Larson
RA
Dodge
RK
Linker
CA
Stone
RM
Powell
BL
Lee
EJ
Schulman
P
Davey
FR
Frankel
SR
Bloomfield
CD
George
SL
Schiffer
CA
A randomized controlled trial of filgrastim during remission induction and consolidation chemotherapy for adults with acute lymphoblastic leukemia: CALGB 9111.
Blood
92
1998
1556
12
Szatrowski
TP
Larson
RA
Dodge
R
Sklar
J
Reynolds
C
Westbrook
CA
Hurd
D
Kolitz
J
Velez-Garcia
E
Frankel
SR
Stewart
C
Bloomfield
CD
Schiffer
CA
The effect of anti-B4-blocked ricin (anti-B4-bR) on minimal residual disease (MRD) in adults with B-lineage acute lymphoblastic leukemia (ALL) (CALGB 9311, 8762, 8763).
Blood
88
1996
669a
(abstr, suppl 1)
13
Frankel
SR
Kurtzberg
J
DeOleivera
D
Dodge
R
Peterson
B
Powell
BL
Larson
RA
Schiffer
CA
Toxicity and pharmacokinetics of peg-asparaginase (peg-asp) in newly diagnosed adult acute lymphoblastic leukemia (ALL): CALGB 9511.
Blood
88
1996
669a
(abstr, suppl 1)
14
Willman
CL
Stewart
CC
General principles of multiparameter flow cytometric analysis: Applications of flow cytometry in the diagnostic pathology laboratory.
Semin Diag Pathol
6
1989
3
15
Stewart
CC
Multiparameter analysis of leukocytes by flow cytometry
Methods of Cell Biology, vol 33.
Darzynkiewicz
Z
Crissman
H
1990
427
Academic
New York, NY
16
Bloomfield
CD
Wurster-Hill
D
Peng
G
Le Beau
M
Tantravahi
R
Testa
J
Davey
FR
Ellison
RR
Cuttner
J
Schiffer
C
Sobol
RE
Lunghofer
B
Carey
M
Mick
R
Arthur
D
Prognostic significance of the Philadelphia chromosome in adult acute lymphoblastic leukemia
Acute Lymphoblastic Leukemia, UCLA Symposia on Molecular and Cellular Biology.
Gale
RP
Hoelzer
D
1990
Wiley-Liss
New York, NY
17
Westbrook
CA
Dodge
R
Szatrowski
TP
Horrigan
SK
Kim
SJ
Wu
D
Jantzen
N
Schiffer
CA
Bloomfield
CD
PCR monitoring of minimal residual disease identifies good outcome in BCR/ABL positive acute lymphoblastic leukemia (ALL): CALGB 8762.
Blood
88
1996
638a
(abstr, suppl 1)
18
Kaplan
EL
Meier
P
Nonparametric estimation from incomplete observations.
J Am Stat Assoc
53
1958
457
19
Simon
R
Lee
YJ
Nonparametric confidence limits for survival probabilities and median survival time.
Cancer Treat Rep
66
1982
37
20
Mantel
N
Evaluation of survival data and two new rank order statistics arising in its consideration.
Cancer Chemother Rep
50
1966
163
21
Koziol
JA
Reid
N
On multiple comparisons among k samples subject to unequal patterns of censorship.
Commun Statist Theor Meth A
6
1977
1149
22
Hoelzer
D
Thiel
E
Loffler
H
Buchner
T
Ganser
A
Heil
G
Koch
P
Freund
M
Diedrich
H
Ruhl
H
Maschmeyer
G
Lipp
T
Nowrousian
MR
Burkert
M
Gerecke
D
Pralle
H
Muller
U
Lunscken
CH
Fulle
H
Ho
AD
Kuchler
R
Busch
FW
Schneider
W
Gorg
CH
Emmerich
B
Braumann
D
Vaupel
HA
von Paleske
A
Bartels
H
Neiss
A
Messerer
D
Prognostic factors in a multicenter study for treatment of acute lymphoblastic leukemia in adults.
Blood
71
1988
123
23
Thomas
X
Archimbaud
E
Charrin
C
Magaud
JP
Fiere
D
CD34 expression is associated with major adverse prognostic factors in adult acute lymphoblastic leukemia.
Leukemia
9
1995
249
24
Pui
CH
Hancock
ML
Head
DR
Rivera
GK
Look
AT
Sandlund
JT
Behm
FG
Clinical significance of CD34 expression in childhood acute lymphoblastic leukemia.
Blood
82
1993
889
25
Pui
CH
Rivera
GK
Hancock
ML
Raimondi
SC
Sandlund
JT
Mahmoud
HH
Ribeiro
RC
Furman
WL
Hurwitz
CA
Crist
WM
Behm
FG
Clinical significance of CD10 expression in childhood acute lymphoblastic leukemia.
Leukemia
7
1993
35
26
Ludwig
W-D
Rieder
H
Bartram
CR
Heinze
B
Schwartz
S
Gassmann
W
Löeffler
H
Hossfeld
D
Heil
G
Handt
S
Heyll
A
Diedrich
H
Fischer
K
Weiss
A
Völkers
B
Ülker
A
Fonatsch
C
Gökbuget
N
Thiel
E
Hoelzer
D
Immuno-phenotype and genotypic features, clinical characteristics, and treatment of outcome of adult pro-B acute lymphoblastic leukemia: Results of the German multicenter trials GMALL 03/87 and 04/89.
Blood
92
1998
1898
27
Smith
M
Arthur
D
Camitta
B
Carroll
AJ
Crist
W
Gannon
P
Gelber
R
Heerema
N
Korn
EL
Link
M
Murphy
S
Pui
CH
Pullen
J
Reaman
G
Sallan
SE
Sather
H
Shuster
J
Simon
R
Trigg
M
Tubergen
D
Uckun
F
Ungerleider
R
Uniform approach and risk classification and treatment assignment for children with acute lymphoblastic leukemia.
J Clin Oncol
14
1996
18
28
Drexler
HG
Thiel
E
Ludwig
WD
Review of the incidence and clinical relevance of myeloid antigen-positive acute lymphoblastic leukemia.
Leukemia
5
1991
637
29
Boldt
DH
Kopecky
KJ
Head
D
Gehly
G
Radich
JP
Appelbaum
FR
Expression of myeloid antigens by blast cells in acute lymphoblastic leukemia of adults. The Southwest Oncology Group Experience.
Leukemia
8
1994
2118
30
Urbano-Ispizua
A
Matutes
E
Villamor
N
Ribera
JM
Feliu
E
Montserrat
E
Granena
A
Vives-Corrons
JL
Rozman
C
Clinical significance of the presence of myeloid associated antigens in acute lymphoblastic leukemia.
Br J Haematol
75
1990
202
31
Lee
EJ
Petroni
GR
Freter
CE
Johnson
JL
Schiffer
CA
Peterson
BA
Brief duration high intensity chemotherapy for patients with small non-cleaved lymphoma (IWF J) and FAB L3 acute lymphocytic leukemia in adults: Preliminary results of CALGB 9251.
Proc Am Soc Clin Oncol
16
1997
24a
(abstr)
32
Pui
CH
Evans
WE
Acute lymphoblastic leukemia.
N Engl J Med
339
1998
605

Author notes

Address reprint requests to Myron S. Czuczman, MD, Roswell Park Cancer Institute, Elm and Carlton St, Buffalo, NY 14263.

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